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[1] Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021,
[2] Context-Aware Depth and Pose Estimation for Bronchoscopic Navigation IEEE Robotics and Automation Letters, 2019,
[3] Multi-level magnification correlation hashing for scalable histopathological image retrieval Neurocomputing, 2019,
[4] Refined Local-imbalance-based Weight for Airway Segmentation in CT Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2021,
[5]guyun. Deep multi-task framework for optic disc and fovea detection Journal of Electronic Imaging, 2021,
[6]guyun. Semi-supervised skin lesion segmentation with learning model confidence ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2021,
[7]guyun. Alleviating Class-Wise Gradient Imbalance for Pulmonary Airway Segmentation IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021,
[8] Diversity-Aware Label Distribution Learning for Microscopy Auto Focusing IEEE Robotics and Automation Letters, 2021,
[9] Deep Graph-Based Multimodal Feature Embedding for Endomicroscopy Image Retrieval IEEE Transactions on Neural Networks and Learning Systems, 2020,
[10] AirwayNet-SE: A Simple-Yet-Effective Approach to Improve Airway Segmentation Using Context Scale Fusion Proceedings - International Symposium on Biomedical Imaging, 2020,
[11] Weakly Supervised Deep Learning for Breast Cancer Segmentation with Coarse Annotations MICCAI 2020: Medical Image Computing and Computer Assisted Intervention , 2020,
[12] Learning Bronchiole-Sensitive Airway Segmentation CNNs by Feature Recalibration and Attention Distillation MICCAI 2020: Medical Image Computing and Computer Assisted Intervention, 2020,
[13] Improving the Slice Interaction of 2.5 D CNN for Automatic Pancreas Segmentation Medical Physics , 2020,
[14] Part-Boundary-Aware Networks for Surgical Instrument Parsing 27th International Conference on Neural Information Processing (ICONIP2020) , 2020,
[15]guyun. Learning with Sure Data for Nodule-Level Lung Cancer Prediction Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2020,
total80 3/6
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